Protein-Protein Interactions (PPIs) are critical for biological systems to function properly. Strong interactions maintain structural integrity and function, whereas weaker interactions enable ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Products released at this year's meeting covered a broad range of applications from sustainable labware to protein assays to instruments.

Researchers capture first-of-its-kind video of dynein–Lis1 protein interaction, supporting future drug development for neurological disorders. Our cells rely on microscopic highways and specialized ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...